A jumping gene evolutionary approach for multiobjective optimization
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | ICT Innovations 2011 |
Pages | 1-14 |
Volume | 150 AISC |
Publication status | Published - 2012 |
Publication series
Name | Advances in Intelligent and Soft Computing |
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Volume | 150 AISC |
ISSN (Print) | 1867-5662 |
Conference
Title | ICT Innovations 2011 Conference |
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Place | Macedonia, The Former Yugoslav Republic of |
City | Skopje |
Period | 14 - 16 September 2011 |
Link(s)
Abstract
The phenomenon of Jumping genes was initially discovered by Nobel Laureate, Barbara McClintock, in her work on maize chromosome in fifties. The Jumping genes transpose from one position to another in horizontal fashion within the same chromosome or even to other chromosomes. In this paper, it is to present how this genetic transposition, after transforming into a computational method, can enhance the evolutionary multiobjective optimization. The fundamental concept, design of operations, performance justification and applications of the Jumping Gene evolutionary approach will be outlined. © 2012 Springer-Verlag GmbH.
Citation Format(s)
A jumping gene evolutionary approach for multiobjective optimization. / Tang, Wallace K. S.; Yeung, Chris S. H.; Man, K. F.
ICT Innovations 2011. Vol. 150 AISC 2012. p. 1-14 (Advances in Intelligent and Soft Computing; Vol. 150 AISC).
ICT Innovations 2011. Vol. 150 AISC 2012. p. 1-14 (Advances in Intelligent and Soft Computing; Vol. 150 AISC).
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review